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COVID-19 Fatality: The daily fatality confirmed cases attributable to COVID-19

Description

The function allows to provide the daily fatality confirmed cases attributable to COVID-19. The data consists of 89 observed values, with 18.72 reported deaths on average every day.

Usage

data_COVIDfat

Value

data_COVIDfat gives the daily fatality confirmed cases attributable to COVID-19.

Arguments

data_COVIDfat

A vector of (non-negative integer) values.

Author

Muhammad Imran.

R implementation and documentation: Muhammad Imran imranshakoor84@yahoo.com.

Details

The data revealed the daily fatality confirmed cases attributable to COVID-19. The data consists of 89 observed values, with 18.72 reported deaths on average every day. Recently, the data set is used by Alyami et al.(2022) and fitted the Topp–Leone modified Weibull model.

References

Alyami, S. A., Elbatal, I., Alotaibi, N., Almetwally, E. M., Okasha, H. M., & Elgarhy, M. (2022). Topp–Leone Modified Weibull Model: Theory and Applications to Medical and Engineering Data. Applied Sciences, 12(20), 10431.

Abdullah Alahmadi, A., Alqawba, M., Almutiry, W., Shawki, A. W., Alrajhi, S., Al-Marzouki, S., & Elgarhy, M. (2022). A new version of weighted Weibull distribution: Modelling to COVID-19 data. Discrete Dynamics in Nature and Society, 2022.

See Also

data_COVIDDeath, data_COVID19MH, data_COVIDmor

Examples

Run this code
x<-data_COVIDfat
summary(x)

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